First Trust Active Factor Large Cap ETF AFLG
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
First Trust Active Factor Large Cap ETF (AFLG) Investment Strategy and Portfolio Holdings Overview
Under normal market conditions, the fund will invest at least 80% of its net assets (including investment borrowings) in U.S.-listed equity securities issued by large capitalization companies. The manager defines large capitalization companies as those that, at the time of investment, have a minimum market capitalization equal to or greater than the minimum market capitalization of a widely recognized index of large capitalization companies based upon the composition of the index at the time of investment. It is non-diversified.
Key Insights
First Trust Active Factor Large Cap ETF (AFLG) Essential ETF Metrics and Performance Data
Latest Closing Price
$35.04Market Cap
$196.47 MillionAverage Trade Volume
95,245 SharesTotal Outstanding Shares
8.45 Million SharesInception Date
December 4, 2019Primary Exchange
New York Stock Exchange Archipelago
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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